Senior Machine Learning Engineer / Tech Lead - AI & ML

About Civo:

Civo is revolutionising the cloud industry by providing
developers and businesses with cutting-edge, developer-friendly cloud
solutions. With a focus on simplicity, performance, and reliability,
Civo enables its clients to unleash the full potential of their projects
and scale with ease. As a company committed to excellence and
innovation, Civo values diversity, collaboration, and continuous
improvement.

About the Role:

Are you up to the challenge of building the next generation of Machine Learning products on the cloud with us? We have an international, fully remote team working on creating the best Kubernetes-first, innovative virtualization platform around, and we'd like you to join as a senior engineer and team lead. In this role, you will be bringing new products to life, working with cutting-edge technology, and making a daily difference supporting users by giving them a platform on which to build awesome new things.

You will get fully involved with the inner workings of Artificial Intelligence, Kubernetes, virtualization and cloud computing, with opportunities to contribute back to open-source projects and participate at industry conferences around the world. You won't just ship code: you'll join a supportive team that values your perspective and ideas from day one.

Responsibilities:

• Manage the development and maintenance of scalable, efficient code for the Machine Learning components of the Civo Cloud Platform

• Ensure code quality, performance, and reliability through comprehensive testing and optimization

• Collaborate with designers, product managers, and other engineers to translate requirements into technical solutions

• Improve team performance through implementing best practices, refactoring, optimizing and improving the documentation of code and the application of best practices

• Participate in code reviews, providing constructive feedback and fostering a collaborative environment

• Stay up-to-date with the latest Machine Learning trends, libraries, and tools

• Troubleshoot and debug complex technical issues

Requirements:

• Bachelor’s degree in Computer Science, Engineering or a related field, or proven related professional experience

• 4+ years of professional experience developing, deploying and optimising Machine Learning Solutions

• 2+ years of running large applications and systems in production environments

• 2+ Experience with containerization technologies (Docker, Kubernetes)